espnet3.systems.base.inference.infer

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espnet3.systems.base.inference.infer(config: DictConfig)

Run inference over all configured test sets and write SCP files.

This entrypoint expects each inference result to be a dict containing a sample identifier under utt_id (or the configured idx_key), plus one value per output field. The final SCP files are always written under.

${inference_dir}/<test_name>/<field>.scp

Each SCP line.

<utt_id> <value_or_path>

Primitive values are written directly into SCP files. When espnet3.systems.base.inference_runner.InferenceRunner is used, workers first write shard-local files under:

${inference_dir}/<test_name>/split.<rank>/

Example return value from ``output_fn`` or directly from the inference model.

{"utt_id": "utt1", "hyp": "hello world"}

Generated SCP.

inference_dir/test-clean/hyp.scp
  utt1 hello world

Non-scalar values are serialized per shard, for example:

${inference_dir}/<test_name>/split.<rank>/<field>/<utt_id>.*

and the final merged <field>.scp written under ${inference_dir}/<test_name>/ points at those shard-local paths.

Example WAV configuration.

output_artifacts:
  audio:
    type: wav
    sample_rate: 16000

Example return value from ``output_fn``.

{"utt_id": "utt1", "audio": waveform_numpy}

Top-level list / tuple outputs are not supported. Each output field must be a single value. If you need structured content, return a dict and let it be serialized as JSON.

• Parameters:config – Hydra/OmegaConf configuration containing the dataset, inference directory, provider/runner definitions, and optional output_artifacts writer settings.